2024 County-Level Hourly Renewable Capacity Factor Dataset for the ReEDS Model
This dataset contains hourly capacity factors for each renewable resource class and region (in this case, county). Technologies like large-scale utility PV (UPV), onshore (land-based) wind, offshore wind, and concentrating solar power (CSP) are included. Hourly profiles are provided for 15 weather years covering 2007-2013 and 2016-2023 for all technologies except for CSP, which is only provided for 2007-2013 due to the lack of data covering the latter years.
These data are used as inputs to the ReEDS-2.0 model (see the "ReEDS 2.0 GitHub Repository" resource link below), developed by NREL. The weather profiles apply to any capacity that exists or is built in each region and class. This helps calculate the generation that can be provided using these resources. These data are compatible with ReEDs Version 2025.1 and newer. To run county-level with older versions (2024.0-2024.3), use the data posted with the "Link to Data for Older Versions of ReEDS" resource below.
Open, reference, and limited are 3 scenarios based on land-use allowance, derived from the Renewable Energy Potential (reV) model developed by NREL, which helps generate supply curves for renewable technologies and assess the maximum potential of renewable resources in a designated area. Each zipped file in this dataset corresponds to a technology and contains the respective land-use scenario files required to run that technology in ReEDS.
To use this dataset, download and place the extracted files in the locally cloned ReEDS repository inside one of the folders (inputs/variability/multi_year). After completing this copy, upon running the ReEDS model at the county-level spatial resolution for respective analysis purposes, the program will detect the presence of these files and will not fail.
The data provided here correspond to the 2024 supply curves from the reV model; for details see the "Renewable Energy Technical Potential and Supply Curves for the Contiguous United States - 2024 Edition" resource below. For additional details on the profiles see the README below.
Citation Formats
TY - DATA
AB - This dataset contains hourly capacity factors for each renewable resource class and region (in this case, county). Technologies like large-scale utility PV (UPV), onshore (land-based) wind, offshore wind, and concentrating solar power (CSP) are included. Hourly profiles are provided for 15 weather years covering 2007-2013 and 2016-2023 for all technologies except for CSP, which is only provided for 2007-2013 due to the lack of data covering the latter years.
These data are used as inputs to the ReEDS-2.0 model (see the "ReEDS 2.0 GitHub Repository" resource link below), developed by NREL. The weather profiles apply to any capacity that exists or is built in each region and class. This helps calculate the generation that can be provided using these resources. These data are compatible with ReEDs Version 2025.1 and newer. To run county-level with older versions (2024.0-2024.3), use the data posted with the "Link to Data for Older Versions of ReEDS" resource below.
Open, reference, and limited are 3 scenarios based on land-use allowance, derived from the Renewable Energy Potential (reV) model developed by NREL, which helps generate supply curves for renewable technologies and assess the maximum potential of renewable resources in a designated area. Each zipped file in this dataset corresponds to a technology and contains the respective land-use scenario files required to run that technology in ReEDS.
To use this dataset, download and place the extracted files in the locally cloned ReEDS repository inside one of the folders (inputs/variability/multi_year). After completing this copy, upon running the ReEDS model at the county-level spatial resolution for respective analysis purposes, the program will detect the presence of these files and will not fail.
The data provided here correspond to the 2024 supply curves from the reV model; for details see the "Renewable Energy Technical Potential and Supply Curves for the Contiguous United States - 2024 Edition" resource below. For additional details on the profiles see the README below.
AU - Sergi, Brian
A2 - Cole, Wesley
A3 - Lopez, Anthony
A4 - Williams, Travis
A5 - Nguyen, Claire
A6 - Mowers, Matt
A7 - Rivers, Marie
A8 - Pinchuk, Pavlo
DB - Open Energy Data Initiative (OEDI)
DP - Open EI | National Renewable Energy Laboratory
DO -
KW - energy
KW - power
KW - capacity expansion model
KW - ReEDS
KW - high resolution capacity expansion
KW - capacity factor data
KW - renewable
KW - onshore wind
KW - land-based wind
KW - offshore wind
KW - concentrated solar power
KW - utility-scale PV
KW - wind power
KW - solar power
KW - hourly generation data
KW - model
KW - processed data
KW - county-level
KW - Regional Energy Deployment System
KW - computational science
LA - English
DA - 2025/03/25
PY - 2025
PB - National Renewable Energy Laboratory (NREL)
T1 - 2024 County-Level Hourly Renewable Capacity Factor Dataset for the ReEDS Model
UR - https://data.openei.org/submissions/8379
ER -
Sergi, Brian, et al. 2024 County-Level Hourly Renewable Capacity Factor Dataset for the ReEDS Model. National Renewable Energy Laboratory (NREL), 25 March, 2025, Open Energy Data Initiative (OEDI). https://data.openei.org/submissions/8379.
Sergi, B., Cole, W., Lopez, A., Williams, T., Nguyen, C., Mowers, M., Rivers, M., & Pinchuk, P. (2025). 2024 County-Level Hourly Renewable Capacity Factor Dataset for the ReEDS Model. [Data set]. Open Energy Data Initiative (OEDI). National Renewable Energy Laboratory (NREL). https://data.openei.org/submissions/8379
Sergi, Brian, Wesley Cole, Anthony Lopez, Travis Williams, Claire Nguyen, Matt Mowers, Marie Rivers, and Pavlo Pinchuk. 2024 County-Level Hourly Renewable Capacity Factor Dataset for the ReEDS Model. National Renewable Energy Laboratory (NREL), March, 25, 2025. Distributed by Open Energy Data Initiative (OEDI). https://data.openei.org/submissions/8379
@misc{OEDI_Dataset_8379,
title = {2024 County-Level Hourly Renewable Capacity Factor Dataset for the ReEDS Model},
author = {Sergi, Brian and Cole, Wesley and Lopez, Anthony and Williams, Travis and Nguyen, Claire and Mowers, Matt and Rivers, Marie and Pinchuk, Pavlo},
abstractNote = {This dataset contains hourly capacity factors for each renewable resource class and region (in this case, county). Technologies like large-scale utility PV (UPV), onshore (land-based) wind, offshore wind, and concentrating solar power (CSP) are included. Hourly profiles are provided for 15 weather years covering 2007-2013 and 2016-2023 for all technologies except for CSP, which is only provided for 2007-2013 due to the lack of data covering the latter years.
These data are used as inputs to the ReEDS-2.0 model (see the "ReEDS 2.0 GitHub Repository" resource link below), developed by NREL. The weather profiles apply to any capacity that exists or is built in each region and class. This helps calculate the generation that can be provided using these resources. These data are compatible with ReEDs Version 2025.1 and newer. To run county-level with older versions (2024.0-2024.3), use the data posted with the "Link to Data for Older Versions of ReEDS" resource below.
Open, reference, and limited are 3 scenarios based on land-use allowance, derived from the Renewable Energy Potential (reV) model developed by NREL, which helps generate supply curves for renewable technologies and assess the maximum potential of renewable resources in a designated area. Each zipped file in this dataset corresponds to a technology and contains the respective land-use scenario files required to run that technology in ReEDS.
To use this dataset, download and place the extracted files in the locally cloned ReEDS repository inside one of the folders (inputs/variability/multi_year). After completing this copy, upon running the ReEDS model at the county-level spatial resolution for respective analysis purposes, the program will detect the presence of these files and will not fail.
The data provided here correspond to the 2024 supply curves from the reV model; for details see the "Renewable Energy Technical Potential and Supply Curves for the Contiguous United States - 2024 Edition" resource below. For additional details on the profiles see the README below.},
url = {https://data.openei.org/submissions/8379},
year = {2025},
howpublished = {Open Energy Data Initiative (OEDI), National Renewable Energy Laboratory (NREL), https://data.openei.org/submissions/8379},
note = {Accessed: 2025-04-23}
}
Details
Data from Mar 25, 2025
Last updated Apr 4, 2025
Submitted Apr 1, 2025
Organization
National Renewable Energy Laboratory (NREL)
Contact
Brian Sergi
Authors
Research Areas
Keywords
energy, power, capacity expansion model, ReEDS, high resolution capacity expansion, capacity factor data, renewable, onshore wind, land-based wind, offshore wind, concentrated solar power, utility-scale PV, wind power, solar power, hourly generation data, model, processed data, county-level, Regional Energy Deployment System, computational scienceDOE Project Details
Project Name Solar Siting and Land Use for Electricity Planning
Project Number 52950
